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1. Direction_of_motion_control_of_a_pi_robot_by_hand_movements Direction_of_motion_control_of_a_pi_robot_by_hand_movements Public

   This robot can be controlled with hand movements which makes the control of the robot easier and more convenient.

   Jupyter Notebook 1

2. Hybrid-Artificial-Potential-Fields-Algorithm-for-hexarotor Hybrid-Artificial-Potential-Fields-Algorithm-for-hexarotor Public

   Python 3

3. Navigation-of-an-autonomous-rover-in-an-unknown-environment-by-localization-and-mapping Navigation-of-an-autonomous-rover-in-an-unknown-environment-by-localization-and-mapping Public

   Jupyter Notebook 1 1

4. Path-planning-of-a-quadrotor-or-a-mobile-robot-using-RRTs-with-A-algorithm- Path-planning-of-a-quadrotor-or-a-mobile-robot-using-RRTs-with-A-algorithm- Public

   Python 1

5. Self-driving-car-AI-using-deep-Q-learning Self-driving-car-AI-using-deep-Q-learning Public

   Python 1

6. Voice-controlled-trajectory-generation-and-control-of-a-hexarotor Voice-controlled-trajectory-generation-and-control-of-a-hexarotor Public

   Trajectory of the quad-rotor is generated by voice commands, which makes the control easier and the Quadrotor_Controller controls the drone's velocity, acceleration and pose.

   Python 1